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PAMI
2007

Adaptive Object Tracking Based on an Effective Appearance Filter

8 years 11 months ago
Adaptive Object Tracking Based on an Effective Appearance Filter
We propose a similarity measure based on a Spatial-color Mixture of Gaussians (SMOG) appearance model for particle filters. This improves on the popular similarity measure based on color histograms because it considers not only the colors in a region but also the spatial layout of the colors. Hence, the SMOG-based similarity measure is more discriminative. To efficiently compute the parameters for SMOG, we propose a new technique, with which the computational time is greatly reduced. We also extend our method by integrating multiple cues to increase the reliability and robustness. Experiments show that our method can successfully track objects in many difficult situations.
Hanzi Wang, David Suter, Konrad Schindler, Chunhua
Added 27 Dec 2010
Updated 27 Dec 2010
Type Journal
Year 2007
Where PAMI
Authors Hanzi Wang, David Suter, Konrad Schindler, Chunhua Shen
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